September 2026
Beginner
352 pages
9h 24m
English
Content preview from Grokking Statistics
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9 Crimes against data: Statistics done wrong
In this chapter
- Common statistics mistakes and why they happen
- Cognitive and data biases and how to avoid them
- Identifying and avoiding p-hacking, which involves cherry-picking models and data
Data, statistics, analytics, and machine learning can be easily misused. It is easy to approach data with the wrong objective and to take advantage of the flexibility that modeling can offer. This is often not malicious, but rather a result of human nature. We want things to work, and we want to troubleshoot, but this desire can quickly slip into making the abstract ideas of statistics bend to our will.
This chapter discusses how to identify and prevent common mistakes in statistics, including p-value ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.